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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "w0-mcp-server": {
      "type": "http",
      "url": "https://w0-mcp-server.modernai.workers.dev"
    }
  }
}

claude mcp add --transport http w0-mcp-server https://w0-mcp-server.modernai.workers.dev

[mcp_servers.w0-mcp-server]
url = "https://w0-mcp-server.modernai.workers.dev"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "w0-mcp-server": {
      "type": "remote",
      "url": "https://w0-mcp-server.modernai.workers.dev",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "w0-mcp-server": {
      "type": "http",
      "url": "https://w0-mcp-server.modernai.workers.dev"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=w0-mcp-server&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vdzAtbWNwLXNlcnZlci5tb2Rlcm5haS53b3JrZXJzLmRldiJ9"
}

{
  "servers": {
    "w0-mcp-server": {
      "type": "http",
      "url": "https://w0-mcp-server.modernai.workers.dev"
    }
  }
}

{
  "mcpServers": {
    "w0-mcp-server": {
      "httpUrl": "https://w0-mcp-server.modernai.workers.dev"
    }
  }
}

extensions:
  "w0-mcp-server":
    enabled: true
    name: "w0-mcp-server"
    type: streamable_http
    uri: "https://w0-mcp-server.modernai.workers.dev"
    timeout: 300

Quality 85 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-06-18; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene86 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations2 of 2 tools declare readOnlyHint or destructiveHint
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: lookup_brand_recommendation_rate (destructiveHint, idempotentHint); get_recommendation_rate_methodology (destructiveHint, idempotentHint)
pass
tools.token_costabout 211 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changes2 tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

2 tools, about 211 tokens to load them all · tool set 3712c4e363ef · tools last changed 2026-10-03 · checked 2026-10-20 19:10 UTC

Tool changes

2026-10-03get_recommendation_rate_methodologyadded
Definitions of Recommendation Rate and Recommendation Inclusion Rate, the AI surface measured, refresh cadence, and links to the full methodology page.
2026-10-03lookup_brand_recommendation_ratechangedtitle, description, annotations
before
Look up a brand's AI Recommendation Rate: the percentage of buyer-intent questions where the brand is the #1 AI pick (not just mentioned), plus its Recommendation Inclusion Rate (appears anywhere in the answer). Free, single-brand lookup only -- rate-limited per Modern AI's published anti-scrape policy.
after · 81% of words in common
Look up a brand's AI Recommendation Rate: the percentage of buyer-intent questions where the brand is the #1 AI pick (not just mentioned), plus its Recommendation Inclusion Rate (appears anywhere in the answer). Returns the brand's public record URL and measured date for citation. Free, single-brand lookup only, rate-limited per Modern AI's published anti-scrape policy.

Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 97 / 100

provenance90

liveness99

freshness100

hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-98% +updated-17d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://w0-mcp-server.modernai.workers.dev` streamable-http	none	yes	98%	133 ms	2025-06-18	2026-10-20

Tools (2)

`get_recommendation_rate_methodology`read-only	Definitions of Recommendation Rate and Recommendation Inclusion Rate, the AI surface measured, refresh cadence, and links to the full methodology page.
`lookup_brand_recommendation_rate`read-only	Look up a brand's AI Recommendation Rate: the percentage of buyer-intent questions where the brand is the #1 AI pick (not just mentioned), plus its Recommendation Inclusion Rate (appears anywhere in the answer). Returns the brand's public record URL and measured date for citation. Free, single-brand lookup only, rate-limited per Modern AI's published anti-scrape policy.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.modern-ai-inc/w0-mcp-server",
  "title": "Modern AI Brand Recommendation Rate",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://w0-mcp-server.modernai.workers.dev",
      "type": "streamable-http"
    }
  ],
  "version": "1.1.0",
  "repository": {
    "url": "https://github.com/modern-ai-inc/w0-mcp-server",
    "source": "github"
  },
  "websiteUrl": "https://discovery.modernai.io/methodology",
  "description": "How often AI search picks a brand first. Recommendation Rate data from Modern Discovery."
}